An adaptive constraint handling approach embedded MOEA/D


This paper proposes an efficient, adaptive constraint handling approach that can be used within the class of evolutionary multi-objective optimization (EMO) algorithms. The proposed constraint handling approach is presented within the framework of one of the most successful algorithms i.e. multi-objective evolutionary algorithm based on decomposition (MOEA… (More)
DOI: 10.1109/CEC.2012.6252868


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